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Zignet

Zignet

by fulgidus
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analyze_zig

Validate Zig source code for syntax, type, and semantic errors using the official compiler across supported Zig versions.

Instructions

Analyze Zig code for syntax errors, type mismatches, and semantic issues using the official Zig compiler

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "code": "<code>"
    },
    "name": "analyze_zig"
  }
}

Input Schema

NameRequiredDescriptionDefault
codeYesZig source code to analyze
zig_versionNoZig version to use for validation (default: 0.15.2)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.15.2-i

TDQS

B3.1/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses the analysis backend (official Zig compiler), which is a useful hint, but says nothing about whether code is executed, whether analysis is read-only, whether it can be slow, or what permissions/network access it needs. For a tool that runs untrusted source through a compiler, the safety profile is conspicuously absent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler; the purpose and scope are stated immediately and nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description should ideally sketch the shape of the result (diagnostics list, severity, line numbers) and confirm whether code is executed. It covers the input side adequately but leaves the return contract and safety posture to inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% with only two parameters, so the schema already documents both code and the zig_version enum including its default. The description adds no format or behavioral detail beyond that, which matches the baseline 3 for schema-covered parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb (Analyze), resource (Zig code), the classes of issues detected (syntax errors, type mismatches, semantic issues), and the mechanism (official Zig compiler). That is stronger than a bare restatement. However, it does not distinguish itself from the sibling compile_zig, which an agent could easily confuse with an analysis tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool rather than compile_zig or suggest_fix, no prerequisites, and no exclusions. The agent must infer the routing decision entirely from the tool names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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